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干旱区地理 ›› 2003, Vol. 26 ›› Issue (1): 89-96.doi: 10.13826/j.cnki.cn65-1103/x.2003.01.016

• • 上一篇    

沙尘源区AVHRR数据地表温度时序变化与沙尘干量TSP数据的对比分析——以2001年春季北方强沙尘过程为例

刘志丽1, 马建文1, 韩秀珍1, 张小曳2   

  1. 1.中国科学院遥感应用研究所, 北京 100101;
    2.中国地球环境研究所, 西安 710054
  • 收稿日期:2002-06-17 修回日期:2002-12-14 发布日期:2025-12-31
  • 基金资助:
    亚洲沙尘暴机理研究项目(kzcx20305)和数字地球基础理论研究(kzcsx2-312)

COMPARISON ANALYSIS OF AVHRR LST DATA AND TSP DATA IN DUST SOURCES REGION——A Case Study During Strong Dust Storm of Spring-Summer in 2001

LIU Zhi-li1, MA Jian-wen1, HAN Xiu-zhen1, ZHANG Xiao-ye2   

  1. 1. Institute of Remote Sensing Application, CAS, Beijing 100101, China;
    2. Institute of earth env ironment, CAS, Xian, 710054
  • Received:2002-06-17 Revised:2002-12-14 Online:2025-12-31

摘要: 根据沙尘暴起沙、传输与降沉模型系统对参数的需求, 中日亚洲沙尘暴项目在源区、传输区和降沉区布设了先进的仪器设备, 其中沙尘干量TSP数据是主要获取的数据, 同时利用气象卫星获取沙尘过程的云图和反演沙尘过程的地表物理参数。由于不同土地利用/覆盖对沙尘暴过程中起沙的贡献不一样, 研究中用局地分裂窗算法反演NOAA/AVHRR热红外波段数据的地面温度参数;取得大范围的时序地面温度数据后参照1∶10万土地利用/覆盖类型重采样图层选点提取地表温度, 形成不同点时间序列变化曲线;最后将不同地类的地表温度时序变化曲线与观测点沙尘干量 TSP 时序变化曲线对比分析, 发现两者具有较好的对应关系, 说明沙尘暴过程地表温度变化现象与沙尘有密切的关系。结果表明, 利用遥感数据反演地面温度参数可以作为沙尘预报模型的重要参数。

关键词: AVHRR, 地表温度, 时序变化, 沙尘干量, TSP

Abstract: Based on the modelling system of emission、transport and deposition of the Asian dust storm, Many advanced apparatus and equipments have been furnished by Chinese-Japanese dust storm project in the area of emission, transport and deposition of Asian dust storm. The TSP data is one of the important data obtained. And using meteorological satellite, the cloud graph of the course of dust storm is obtained and the physical parameters of the land surface are retrieved. Because the contributions of different land use/cover are different to emission of dust storm, based on the land use/cover map in the scale of 1:100000, the land surface temperature (LST) is retrieved by the local split-window method. At last, the change curves arranged by time order are formed. Comparing these curves to TSP curves, the results show that they have good correspondent relationship. It can be concluded that there is an affinity between the LST and the dust storm. It is manifestated that the LST parameter retrieved by RS data may become one of the important parameters of the dust storm predict model.

Key words: AVHRR, LST, the Split-window method, TSP Changes

中图分类号: 

  • P425.5